Research into Industry Seminar: 23 April 2009
Making Data Intelligent, Nidal Salah & Rinkoo Pugal, Deloitte LLP
Data mining's applications are many and varied, ranging from fraud detection to predicting customer spending patterns; from forensics accounting to risk management. Customer records often contain a vast amount of information much of which is related. Factor analysis will reduce this huge dataset to a much smaller number of key characteristics without a similar loss in the richness of the data. These key characteristics enable more robust predictive models to be developed to identify fraud.
Our interactive case study will be structured around a real life scenario experienced by our teams at clients. Using laptops provided (or your own if you wish) participants will have an opportunity to explore and play with the problem in small groups. We would like to challenge participants to explore the data using their own techniques with the aim of providing useful and thought provoking insights.